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Project is seeking a hands-on AI Engineer to design, build, and deploy production-ready AI and machine learning systems. The engineer will work closely with data scientists, architects, and product teams to transform models and AI concepts into scalable, reliable applications. The role combines AI/ML engineering, production deployment, and application integration to help deliver practical AI-driven solutions.
Job Responsibility
Design, develop, train, and deploy machine learning and deep learning models for production use
Build and maintain end-to-end AI/ML pipelines, covering data preparation, model development, deployment, monitoring, and continuous improvement
Integrate AI capabilities into applications through APIs, microservices, and scalable backend services
Work with LLMs, RAG pipelines, and AI agents where relevant to product needs
Optimize models and AI services for performance, scalability, latency, and cost efficiency
Implement and improve CI/CD and MLOps practices to automate the model lifecycle
Monitor models and AI services in production, ensuring reliability, accuracy, and stable performance
Collaborate with data scientists, software engineers, DevOps/MLOps engineers, and product teams to deliver AI-driven features
Requirements
Strong programming skills in Python and/or TypeScript/C#
Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Hands-on experience deploying AI/ML models to production environments
Experience building or integrating APIs, microservices, and distributed systems
Familiarity with cloud platforms such as Azure, AWS, or GCP
Understanding of MLOps practices, including CI/CD, model monitoring, versioning, and automated deployment
English level: B2 or higher
Nice to have
Experience with Generative AI, LLMs, or RAG architectures
Familiarity with vector databases such as Pinecone, Weaviate, or similar tools
Understanding of data pipelines and streaming systems
Experience with model evaluation frameworks
What we offer
Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days